There's no point in saying that a signal is "noise like".
The signal maybe "noise like", but it should be a noise that has a distinct bandwitch from the "real noise"
The antialias filter just reduces the amplitude of the data collected (signal plus noise) in the exact frequencies that pertains to the bandwitch of the "real noise".
i.e you have to garantee that your desired signal has a different bandwitch than the noise. In that case, thermal noise must have this proprierty in comparison to neuron signals.
PS: English is not my first language. Sorry about any grammar or orthographical errors.
The signal maybe "noise like", but it should be a noise that has a distinct bandwitch from the "real noise"
The antialias filter just reduces the amplitude of the data collected (signal plus noise) in the exact frequencies that pertains to the bandwitch of the "real noise".
i.e you have to garantee that your desired signal has a different bandwitch than the noise. In that case, thermal noise must have this proprierty in comparison to neuron signals.
PS: English is not my first language. Sorry about any grammar or orthographical errors.